EuroHPC: Call for applications for AI and data-intensive applications published
THE EuroHPC NOTICE: for Data-intensive Applications
》》》》》》》》》》》》》》》THE EUROPEAN JOINT UNDERTAKING FOR HIGH PERFORMANCE COMPUTING EuroHPC JU: has published the continuous Call for Access Call for AI and Data-Intensive Applications, which presents several Cut Offs, with expiration set for 15 June 2024.
THE NOTICE AIMS TO PROMOTE: Ethical Artificial Intelligence - Machine Learning and in general - Data-intensive Applications, with particular attention to large-scale Foundation Models and generative AI. The Call is designed to allow Applicants to access supercomputing resources to carry out activities based on the use of AI and the valorization of Data.
INDUSTRY ORGANIZATIONS - SMALL AND MEDIUM ENTERPRISES - START-UPS - AS WELL AS PUBLIC AND PRIVATE SECTOR BODIES - RESEARCH ORGANIZATIONS - PROVIDED THAT:
• THE ORGANISATION: is established or located in a Member State of the European Union or in a country associated with the Digital Europe Program or Horizon Europe, or, where applicable, organizations resident, established or located in an EU Member State or in a country associated with Horizon 2020;
• THE PRINCIPAL RESEARCHER: has an employment contract in the organization at the time of proposal submission and is valid for at least 3 months after the end of the assignment period;
REGARDING ACCESS: The relevant Horizon 2020 participation rules apply to commercial companies and small and medium-sized enterprises.
THE CALL: refers to the Supercomputers of the EuroHPC Network, including Leonardo in Italy > LINK:https://leonardo-supercomputer.cineca.eu/hpc-system/
EXPIRY: 15/06/2024
BENEFICIARIES:
Other Subjects
Big business
Medium Cap
Small and Medium Enterprises
TYPE OF FINANCING: Consulting Services
THE AREA: European Union
LINK: https://eurohpc-ju.europa.eu/eurohpc-ju-access-call-ai-and-data-intensive-applications_en
LINK: https://www.etp4hpc.eu/
LINK: https://bdva.eu/
LINK: https://www.euroquic.org/
LINK: https://eurohpc-ju.europa.eu/index_en
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